In this paper, we propose new real-time measurement-based scheduling algorithms to achieve a trade-off between the energy efficiency and the performance capability of computational clusters. An investigation is performed using a specific scenario of computing clusters with realistic parameters. Numerical results show that a trade-off between the performance and the energy efficiency can be controlled by the proposed algorithms.
Publié le : 2017-06-12
Classification:
Parallel and Distributed Computing,
Heterogeneous resources, computational cluster, common queue model, real-time load,
37M05, 97R30
@article{cai2017_2_307,
author = {Xuan Thi Tran; Budapest University of Technology and Economics and Tien Van Do; Ton Duc Thang University, Ho Chi Minh City, Vietnam \& Budapest University of Technology and Economics and Binh Thai Vu; Budapest University of Technology and Economics},
title = {New Algorithms for Balancing Energy Consumption and Performance in Computational Clusters},
journal = {Computing and Informatics},
volume = {35},
number = {4},
year = {2017},
language = {en},
url = {http://dml.mathdoc.fr/item/cai2017_2_307}
}
Xuan Thi Tran; Budapest University of Technology and Economics; Tien Van Do; Ton Duc Thang University, Ho Chi Minh City, Vietnam & Budapest University of Technology and Economics; Binh Thai Vu; Budapest University of Technology and Economics. New Algorithms for Balancing Energy Consumption and Performance in Computational Clusters. Computing and Informatics, Tome 35 (2017) no. 4, . http://gdmltest.u-ga.fr/item/cai2017_2_307/